Medical Datasets Classification using a Hybrid Genetic Algorithm for Feature Selection based on Pearson Correlation Coefficient-Reference-Cited by-同舟云学术

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Medical Datasets Classification using a Hybrid Genetic Algorithm for Feature Selection based on Pearson Correlation Coefficient

Published:2022-08 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Machine Learning, Computer Systems and Security (MLCSS)
language:
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Author:

Kumar Santosh¹,Bhushan Bharat²,Bhambhu Lekha³,Thakur Mamta⁴,Mohapatra Usha Manasi⁵,Choubey Dilip Kumar⁶

Affiliation:

1. SOA University,Dept of CSIT,Bhubaneswar,India

2. Sharda University,Dept of CSE,Greater noida,India

3. CUIET,Dept of CSE,Punjab,India

4. BITT,Dept of CSE,Ranchi,India

5. GM University,Dept of Computer Science,Sambalpur,India

6. IIIT,Dept of CSE,Bhagalpur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10076542/10076549/10076675.pdf?arnumber=10076675

Reference20 articles.

1. Hepatitis disease diagnosis using a new hybrid system based on feature selection (FS) and artificial immune recognition system with fuzzy resource allocation

2. A new hybrid method based on local fisher discriminant analysis and support vector machines for hepatitis disease diagnosis

3. Genetic Algorithms + Data Structures = Evolution Programs

4. Feature Selection Method Based on Artificial Bee Colony Algorithm and Support Vector Machines for Medical Datasets Classification

5. UCI repository of ma-chine learning databases. Irvine;blake;CA University of California Department of Information and Computer Science,1998

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